| 基于Duffing振子的弱信号频率检测研究 |
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| 引用本文： | 刘林芳,芮国胜,张洋,孙文军.基于Duffing振子的弱信号频率检测研究[J].电子测量技术,2016,39(3):146-150. |
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| 作者姓名： | 刘林芳 芮国胜 张洋 孙文军 |
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| 作者单位： | 海军航空工程学院烟台264001,海军航空工程学院烟台264001,海军航空工程学院烟台264001,海军航空工程学院烟台264001 |
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| 摘 要： | 现有Duffing振子弱信号检测方法检测频率信号时存在检测频率范围窄的缺点，在检测宽频带信号时需要用到多振子阵列，增加了实现的复杂度。文章充分利用周期信号频率特性和Duffing振子的弱信号检测技术，提出了一种新的Duffing振子检测频率信号的方法，该方法摒弃了传统外加周期策动力的方式，将待测信号直接送入Duffing振子，然后对振子输出量作频谱分析，降低了调谐的难度并增加了振子运行的稳定性。仿真结果表明，该方法可实现对信号频率的精确检测，具有精确度高（10-4数量级）、复杂度低的优点。
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| 关 键 词： | 混沌系统 杜芬振子 频率检测 频谱分析 |
Study on frequency detection of week signal based on Duffing Oscillator |
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| Liu Linfang,Rui Guosheng,Zhang Yang and Sun Wenjun.Study on frequency detection of week signal based on Duffing Oscillator[J].Electronic Measurement Technology,2016,39(3):146-150. |
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| Authors: | Liu Linfang Rui Guosheng Zhang Yang and Sun Wenjun |
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| Affiliation: | Dept. Electronic Engineering, Naval Aeronautical and Astronautical University,Yantai 264001, China,Dept. Electronic Engineering, Naval Aeronautical and Astronautical University,Yantai 264001, China,Dept. Electronic Engineering, Naval Aeronautical and Astronautical University,Yantai 264001, China and Dept. Electronic Engineering, Naval Aeronautical and Astronautical University,Yantai 264001, China |
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| Abstract: | The frequency range of traditional chaotic detection methods is very narrow, complex multi oscillators are essential when we meet the demand of wide band signal. According to this problem, one new algorithm is proposed in this paper, which made full use of periodic signal frequency characteristic and frequency detection approach based on Duffing oscillator. This method made spectrum analysis of oscillator output, abandoning the traditional periodic driving force, that could reduce the difficulty of tuning and increase the system stability. Simulation results show that, this method can achieve accurate detection of frequency signal, compared to others, new method has high accuracy (10-4magnitude) and low complexity in implementation. |
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| Keywords: | chaos system Duffing oscillator frequency signal detection spectrum analysis |
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